From      funnels      flywheels       
Embrace the shift

Go-to-market teams are facing a dramatic change.
After decades of focusing on disconnected acquisition, retention and monetization ops... 

In the past...

You could easily find your niche by building an app and monetizing usage from launch to subscription. Customer’s journey was linear - from website to marketplace to app.

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Now...

There are over 2.2 million iOS apps and each niche category has dozens of competitors. Monetizing becomes increasingly difficult when marketplace is flooded with freemium apps that beat the premium experience.

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The outcome...

Mobile apps lose 77% of their users during the first 3 days following sign-up and 65% of apps fail to reach profitability within 2 years of launching the app.

The best-run companies know.
It’s time to adapt to win ... 

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Monetize

From growth at all costs to sustainable profitability

Generate consistently profitable income streams by effectively and strategically  upselling and cross-selling existing customers

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Acquire

From top of funnel to the full customer lifecyle

Funnels use acquisition at their core, are inherently leaky and grow linearly at best. Acquiring customer is just the first step on the lifecycle  relationship

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Retain

From one-time buyers to lifetime customers

Because the best relationships stay connected - across each step of the customer lifecycle. Net Dollar Retention and CAC Payback are the new black

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The key levers     of the growth flywheel       

The flywheel has compounding effect if you reach the  elite level of these KPIs

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Look for elite stickiness rates

This is what Average stickiness (DAU/MAU) looks like for consumer apps - on average 11.9% of users come back once every 8.4 days to visit an app.

Elite stickiness for consumer apps (DAU/MAU) is 26.1% so Users coming back every once every 4 days.

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Average 50th and 90th percentile DAU/MAU  in Consumer Apps

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Look for elite ADAU growth rates

This is what average growth looks like - 50th percentile is 3.7% monthly percent change of ADAU for consumer apps, is very low.

Elite growth for 90th percentile is 27.7% monthly percent change of ADAU for consumer apps. This is where you want to be.

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Average 50th and 90th percentile monthly % of change ADAU in Consumer Apps

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Begin the transformation from average to elite

Intempt’s  Growth OS is an all-in-one marketing suite that enables you to collect and activate data across all touchpoints so you can acquire, monetize and retain more customers.

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Acquire

Gain a 360° view of your customer by unifying the cross-channel dataset to build a complete user profile. Uncover insights into their behavior, identify friction in their journey, and craft personalized in-app content and onboarding experiences.

Goal
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Monetize
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Champions
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METRICS

  • Trial/sign-up conversion rate
  • Time spent on screen
  • Customer acquisition cost (CAC)

Use cases for the Acquire stage

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For:
Marketing strategy

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Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
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For:
Website specialist

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Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
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For:
App Specialist

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Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
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Retain

Build a habit with your product and make your users return to it. Use data-driven insights to improve your retention tactics, trigger automated reminders at the right moments, and prevent churn with personalized messaging before customers lose engagement.

Goal
First-time buyders
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Monetize
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Champions
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METRICS

  • Average screens per visit
  • Daily active users
  • Monthly active users
  • Customer churn rate
  • Activation rate
  • Feature adoption rate
  • Time to value (TTV)

Use cases for the Retain stage

A passionate community

For:
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Stay ahead of the game.

Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
A passionate community

Insider perks and opportunities

For:
Top management

You won’t find anywhere else.

Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
Insider perks and opportunities

Personalized notifications

For:
Team Work

Prevent attrition of customers who are at risk.

Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
Personalized notifications
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Monetize

Transform free users into paid and paid into the premium. Use advanced conversion, upsell, and expansion tactics to engage with your customers in-app, via email and SMS. Use data to maximize revenue for each user.

Goal
Regulars
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Monetize
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Champions
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METRICS

  • Free to paid conversion rate
  • Free/paid subscriptions
  • Customer lifetime value
  • Average revenue per user (ARPU)
  • Customer lifetime value

Use cases for the Monetize stage

Get disengaged customers to come back with personalized offers

For:
Marketing specialist

Focus on customers that require attention

Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
Get disengaged customers to come back with personalized offers

Remind returning customer of where they had left off

For:
Marketing specialist

Focus on customers that require attention

Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
Remind returning customer of where they had left off

Promoting brand affinity with personalized notifications

For:
Marketing specialist

Focus on customers that require attention

Keep the pulse on the customers that may churn - ensure that they return by interrupting inactivity with personalized content to win-back their attention.

How it works

Create a predictive churn score to identify and target customers who are likely to disengage missing the next purchase. Next, create personalization-focused experiment targeted via created churn score to prevent attrition of customers who are  at risk.

Features used
  • Predictive scoring
  • Experiment
  • Journeys
  • Segmentation
Metrics that move
  • 1-month buyer retention
  • 1-week active user retention
Guides - get started
  • Ultimate guide to predictive scoring
Promoting brand affinity with personalized notifications

💡 How it works 💡

Drive growth and optimize operations with six key stages on initializing GrowthOS

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👇

🎯 Discover

Identify, build and analyze audiences. Unify customer data across all digital and offline touchpoints and use it to power your marketing stack.

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•  Capture user and account level data, no matter the source
•  Build complex segmentation & targeting rules for each user
•  Automatically uncover deeper segmentation opportunities with RFM scoring
•  Build reports & dashboards to track your KPI progress

✨ Personalize

Personalize every interaction to deliver an optimal customer experience at scale across web, mobile and email.

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•  Transform static content into personalized experiences
•  Personalize your website for each persona
•  Target users by affinity sitewide
•  Personalize journeys, not individual touchpoints

đź’¬ Engage

Set timely, automated triggering events based on real-time behavior to send timely emails when customers are most likely to subscribe, or are at high risk to churn and cancel subscription.

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•  Orchestrate responsive, cross-channel experiences within a single interface
•  Track journey performance in real-time
•  Ensure consistent brand messaging across channels

đź”® Predict

Predict user-intent in real time with machine learning. Understand your customers better than ever before with an AIalgorithm that identifies subscription, upgrade or churn intent.

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•  Choose the right path for each user across your consumer experiences
•  Create AI-powered audiences based on conversion goals and only target users who are most likely to impact KPIs
•  Enrich customer profiles with a range of predictive attributes

🛠️ Optimize

Experiment anywhere on your digital properties with great agility, more confidence and less risk

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•  A/B test any experience on any channel
•  Move beyond A/B testing with sophisticated targeting
•  Improve performance with an agile statistical engine and CUPED variance reduction
•  Client- and server-side A/B testing together in one platform

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HeadinCapture leads from a form and send a follow-up email + Slack notificationg

Follow up news leads after they submit a form on your website

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Nudge customers to purchase again

Follow up with customers that have recently bought, and prompt them to purchase again.

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Reach out to qualified leads who visit your pricing page

When a prospect visits your pricing page more than once, automatically send them a sales outreach.

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Reactivation Loops

Measure your user activity and get them into an engagement loop with your product. identify and target only specific customer groups that will turn out to be most profitable for your business.

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Trigger alerts for churning customers

Alert your sales team when a lead triggers a churn signal. Reduce the response time needed to reach out to leads who are qualified to be engaged.

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Automate gated content engagement

Capture a gated content form, send new leads the content to download, and assign the leads

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Transform every customer touchpoint into revenue today

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